Abstract
In legal cases, stories or scenarios can serve as the context for a crime when reasoning with evidence. In order to develop a scientifically founded technique for evidential reasoning, a method is required for the representation and evaluation of various scenarios in a case. In this paper the probabilistic technique of Bayesian networks is proposed as a method for modeling narrative, and it is shown how this can be used to capture a number of narrative properties.
Bayesian networks quantify how the variables in a case interact. Recent research on Bayesian networks applied to legal cases includes the development of a list of legal idioms: recurring substructures in legal Bayesian networks. Scenarios are coherent presentations of a collection of states and events, and qualitative in nature. A method combining the quantitative, probabilistic approach with the narrative approach would strengthen the tools to represent and evaluate scenarios.
In a previous paper, the development of a design method for modeling multiple scenarios in a Bayesian network was initiated. The design method includes two narrative idioms: the scenario idiom and the merged scenarios idiom. In this current paper, the method of Vlek (2013) is extended with a subscenario idiom and it is shown how the method can be used to represent characteristic features of narrative.
Bayesian networks quantify how the variables in a case interact. Recent research on Bayesian networks applied to legal cases includes the development of a list of legal idioms: recurring substructures in legal Bayesian networks. Scenarios are coherent presentations of a collection of states and events, and qualitative in nature. A method combining the quantitative, probabilistic approach with the narrative approach would strengthen the tools to represent and evaluate scenarios.
In a previous paper, the development of a design method for modeling multiple scenarios in a Bayesian network was initiated. The design method includes two narrative idioms: the scenario idiom and the merged scenarios idiom. In this current paper, the method of Vlek (2013) is extended with a subscenario idiom and it is shown how the method can be used to represent characteristic features of narrative.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2013 Workshop on Computational Models of Narrative (CMN 2013) |
| Editors | M. A. Finlayson, B. Fisseni, B. Löwe, J. C. Meister |
| Place of Publication | Dagstuhl |
| Publisher | OASICS |
| Pages | 315-332 |
| Number of pages | 18 |
| Publication status | Published - 2013 |
| Event | 2014 Workshop on Computational Models of Narrative - Hamburg, Germany Duration: 4-Aug-2013 → 6-Aug-2013 |
Workshop
| Workshop | 2014 Workshop on Computational Models of Narrative |
|---|---|
| Country/Territory | Germany |
| City | Hamburg |
| Period | 04/08/2013 → 06/08/2013 |
Keywords
- Bayesian networks
- Reasoning with evidence
- Narrative